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Best AI stocks to buy from India in 2026: Complete guide for Indian investors

Swastik Nigam
January 8, 2026
2 minutes read
Best AI stocks to buy from India in 2026: Complete guide for Indian investors

The artificial intelligence revolution isn't just changing how we work—it's creating one of the biggest wealth-building opportunities of our generation. With the global AI market projected to reach $826 billion by 2030, Indian investors who position themselves early in AI stocks stand to benefit from this technological megatrend.

But here's the challenge: while Indian IT companies like TCS and Infosys are integrating AI into their services, the real infrastructure builders—the companies creating the chips, cloud platforms, and foundational AI models—are almost exclusively listed in the United States.

This comprehensive guide will show you exactly how to invest in AI stocks from India, covering the top AI stocks and ETFs, step-by-step investment methods, and critical tax considerations you need to know.

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Why AI stocks matter for Indian investors in 2026

If you're looking to build long-term wealth, ignoring AI is no longer an option. The technology is already embedded in everything from your smartphone's camera to Netflix recommendations to fraud detection at your bank. But the real investment opportunity lies deeper—in the infrastructure layer that powers it all.

The US market advantage

While India has talented AI engineers and growing startups, the publicly traded AI infrastructure leaders are overwhelmingly American. Companies like Nvidia, which controls over 80% of the AI training chip market, or Microsoft, which has invested $13 billion in OpenAI, offer exposure that simply isn't available on Indian exchanges.

💡 Key insight

Between 2010 and 2024, US markets delivered 83% higher returns than Indian markets in rupee terms. Add the 3-5% annual rupee depreciation against the dollar, and US stock investing becomes even more compelling for Indian investors.

The beauty of investing in AI stocks from India is that you're not just betting on technology—you're also gaining natural currency diversification. When the rupee weakens against the dollar (as it historically does), your US stock investments gain additional value in INR terms.

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Understanding the AI investment stack

Before diving into specific stocks, it's crucial to understand how the AI ecosystem is structured. Think of it as a pyramid where each layer depends on the one below it.

Layer 1: AI chipmakers (The foundation)

At the base are the companies that manufacture the specialized processors required for AI workloads. Nvidia's GPUs have become the gold standard for training large AI models, while TSMC is the only foundry capable of manufacturing the most advanced chips. ASML holds a literal monopoly on the extreme ultraviolet lithography machines needed to make these chips.

Layer 2: Cloud AI providers

Cloud giants like Microsoft Azure, Amazon AWS, and Google Cloud provide the infrastructure that makes AI accessible to businesses of all sizes. These companies invest billions in data centres filled with AI chips and offer AI-as-a-service to millions of customers.

Layer 3: AI software & platforms

Companies like Palantir build AI platforms for government and enterprise customers, while Adobe integrates generative AI into creative tools used by millions of designers and marketers.

Layer 4: AI-enhanced applications

At the top are companies using AI to transform traditional industries. Tesla's autonomous driving technology, Meta's recommendation algorithms, and countless SaaS companies are embedding AI features into their products.

Top 10 AI stocks for Indian investors in 2026

Based on market position, growth trajectory, and accessibility for Indian investors, here are the ten AI stocks that deserve your attention:

Nvidia Corporation (NVDA)

The undisputed king of AI chips. Controls 80%+ of the AI training GPU market with its CUDA software ecosystem, creating massive switching costs.

Microsoft Corporation (MSFT)

Largest investor in OpenAI, integrating AI across Azure, Office 365, and Copilot. Strong recurring revenue from enterprise customers.

Taiwan Semiconductor (TSM)

Manufactures chips for Nvidia, AMD, Apple, and every major tech company. The only foundry capable of producing cutting-edge AI chips.

Alphabet (Google) (GOOGL)

Google Cloud is growing rapidly, Gemini AI is competing with ChatGPT, and YouTube is leveraging AI for content recommendations.

Amazon.com (AMZN)

AWS is the world's largest cloud provider, offering comprehensive AI/ML services. Also investing heavily in custom AI chips.

Advanced Micro Devices (AMD)

The challenger to Nvidia's GPU dominance. MI300 series is gaining traction with cost-conscious cloud providers.

Broadcom Inc. (AVGO)

Leading provider of custom AI chips (ASICs) for hyperscalers. Networking solutions are critical for AI data centres.

ASML Holding (ASML)

Monopoly on EUV lithography machines. Without ASML, no one can manufacture advanced AI chips.

Palantir Technologies (PLTR)

AI-powered data analytics for government and enterprise. Strong moat in defence and national security applications.

Tesla, Inc. (TSLA)

Beyond EVs: autonomous driving, Optimus robots, and Dojo supercomputer. High risk, high potential reward.

Quick comparison of AI stock

StockTickerSectorP/E ratio Market capWhy buy
NvidiaNVDAChips55x$3.2TMarket leader, 80%+ share
MicrosoftMSFTCloud35x$3.1TOpenAI partnership, Azure AI
TSMCTSMFoundry28x$900BOnly advanced AI chip maker
GoogleGOOGLCloud/AI24x$2.3TGemini, Cloud growth
AMDAMDChips45x$220BNvidia challenger, value play

Best AI ETFs for Indian Investors

If picking individual stocks feels overwhelming, AI-focused ETFs offer diversified exposure with a single purchase. Here's why ETFs might be the smarter choice for many investors:

  • Diversification: Own 25-80+ AI companies instead of betting on one
  • Lower Risk: If one stock crashes, others can offset the loss
  • Professional Management: Index rebalancing handles the work for you
  • Cost-Effective: Expense ratios as low as 0.35%
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💡 ETF Selection Tip

For pure AI chip exposure, SMH offers the lowest expense ratio and highest liquidity. For broader AI ecosystem coverage, including cloud and software, consider AIQ. If you want robotics and automation exposure, BOTZ is your pick.

How to Invest in AI Stocks from India: Step-by-Step

Indian investors have three main pathways to access US AI stocks. Here's how each works:

The most straightforward way to invest is through platforms like Winvesta that provide direct access to US stock exchanges. Here's the process:

1. Open Your Account

Complete the digital account opening process in about 15 minutes. You'll need your PAN card and Aadhaar for KYC verification.

2. Complete W-8BEN Form

This tax form ensures you get the reduced 25% dividend withholding rate under the India-US DTAA treaty (instead of 30%).

3. Fund via LRS

Transfer funds from your Indian bank account using the Liberalised Remittance Scheme. You can remit up to $250,000 per financial year.

4. Buy Fractional Shares

Start investing with as little as $1. Don't need $500+ to buy one Nvidia share—buy a fraction instead.

Method 2: Via GIFT City / NSE IFSC

For investors who prefer a fully India-regulated option, NSE IFSC in GIFT City offers "receipts" of US stocks. These are unsponsored depository receipts that track major US companies like Apple, Microsoft, and Nvidia.

Pros: India-regulated, no foreign broker needed

Cons: Limited to ~50 large-cap stocks, lower liquidity than US exchanges

Method 3: India-Domiciled Mutual Funds

If you want the simplest option with no LRS paperwork, consider Indian mutual funds that invest in US stocks:

  • Motilal Oswal Nasdaq 100 ETF
  • Mirae Asset NYSE FANG+ ETF
  • Kotak Nasdaq 100 Fund of Funds

Note: These are taxed as debt funds in India and have limited AI-specific exposure compared to direct investing.

Risks of Investing in AI Stocks

While AI represents a transformational opportunity, investing in this sector comes with specific risks that every investor should understand

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Disclaimer: The views and recommendations made above are those of individual analysts or brokerage companies, and not of Winvesta. We advise investors to check with certified experts before making any investment decisions.

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